IN THE CONTEXT OF MAYYAFARIQINS ISLAMIZATION PROCESS AND MUSLIM-NON-MUSLIM RELATIONS: SILVAN CHALDEAN CHURCH CONSTRUCTION EXAMPLE
Bibliographic record
Abstract
The beginning of Islamic conquests, next to new settlements, allowed people of different cultures and religions to enter the rule of Muslims. One of the best examples of this is the Silvan experience, whose former name was Meyyâfârikin. Meyyâfârikin, conquered during the reign of Hz. Omar, maintained its social, cultural, ethnic and religious wealth until the last years of the Ottoman Empire. So much so that non-Muslims living here have benefited from the tolerance of Muslims and lived their religion freely in places of worship. In addition to the persecution and violence seen in many societies, except Islamic societies, during the historical process, religious and political pressures were not applied to non-Muslims. Here in this article topics will be discussed about the construction process of Silvan Chaldean Church, which is one of the best examples of Islam and Muslims' tolerance towards non-Muslims and was built in the last quarter of the 19th century. In the study, firstly, historical information about Meyyafarikin will be given, and then the information about the construction of the church will be tried to be explained by making use of archive documents. The information obtained will be handled and evaluated with a chronological approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".